Rahul Vellaparambil

New paper is out on @FrontMedTech as part of my PhD project with @H2020Meditate and @StphaneAvril1 . 🔬Interested in #DMLS technology for producing #auxetic stents and use of #FiniteElement for predicting prototype behavior? 💡Read more : 🔗frontiersin.org/articles/10.33…

We offer post-doc positions in experimental mechanics and small-scale numerical mechanics with applications to biology. Apply at these links: institutminestelecom.recruitee.com/o/post-doc-pos… institutminestelecom.recruitee.com/o/post-doc-pos…

🚀🎓Excited to launch our new website and initiate the recruitment process for the BIOMEND #MSCA Doctorate Network. Applications are now open for 15 #PhD candidates in the BIOabsorbable Metallic ENdovascular Medical Devices - full details on website biomend.eu

@miquel_aguirre @H2020Meditate @StphaneAvril1 Thanks , Miquel !

🚨New paper as part of my PhD project with @H2020Meditate & @StphaneAvril1 is out on #CVET 🔬 Can #stent-graft (SG) limbs derived from #auxetic unit cells withstand kinks when subjected to harsh bending deformations ? Read more for our findings at 🔗 doi.org/10.1007/s13239…

I’m excited to finally showcase our work on developing a generalizable deep learning system for cardiac MRI. This is the culmination of over 3 years of research spanning my time as a postdoc in @HiesingerLab and now as a cardiac surgery resident at @pennsurgery, and I couldn’t be happier with the finished product. Weights to be released for academic use (coming soon!). All built with @pytorch and @pytorch_lightning. Lots of really cool stuff to unpack, but here are few main results: Contrastive learning with cine-sequence CMR studies from multiple different views (short axis, 2-chamber, 3-chamber, and 4-chamber views) with long-form CMR free text reports is really hard. A good sign for us was how the video transformer embeddings evolved with each epoch. We train for about 600 epochs taking about 2 weeks. In a zero shot fashion, the model can then do some really interesting things: separate out different diseases (ACDC dataset), and different genders, age groups, and ejection fractions (UK BioBank) with no explicit supervised instruction. No such behaviour with kinetics-600 initialized weights (see preprint)! Finetuning over our system yields results superior to baseline approaches on downstream tasks of interest, with 10x and sometimes 100x less data. Here’s a quick figure showing how we achieve superior results for UK BioBank LVEF estimation with just 1% of the available data. Better yet, that same model when tested on a Kaggle dataset does exceptionally well (dashed line = kinetics-600 performance on left; lower is better!). Focusing on some disease diagnosis tasks, we label a separate dataset of some 6000 individual patients. This is real-world representative unenriched dataset. Our methods show massive improvements in AUC compared to baseline methods. Validation set shown here, internal test set (Stanford / Medstar / UCSF), and external test set (UPenn) figures are in the paper.

@WhatCell_ @LaoiseMcnamara @Eoin_McEvoy @mechanobio_ie Congrats Vatsal 💯

Feels great to have been conferred with a PhD. Very grateful to @LaoiseMcnamara for the years of wisdom. Also extremely thankful to @Eoin_McEvoy for his support and guidance. This also wouldn’t have been possible without the support from everyone at @mechanobio_ie

Read our review on patient-specific computational modelling of endovascular treatment for intracranial aneurysms just out in #BMPhi 👏👏@BeatriceBisigh1 @H2020Meditate 👉👉doi.org/10.1016/j.brai… @miquel_aguirre @Sainbiose_Lab · @AlainGoriely. @JeruGroup @PrediSurge

@watchandtell @absidd Hi @watchandtell , you could try that option, best case scenario , a kind person helps you. Worst case scenario, prioritise your mental health and move forward with your other goals. Good luck 🤞

@rahulsathishv @absidd I am supposed to leave for a conference on Tuesday and still no word from them. I wonder if going there directly could help? The visa process has horrible reviews online.

@alessandro_mstr @KTHuniversity Well written and summarised , an enjoyable read ! All the best for your career ahead @alessandro_mstr 💯

A journey started several months ago, moving to Stockholm and starting my traineeship at @KTHuniversity , and now coming to the end with my graduation. alessandromastrofini.it/2023/04/14/dia…

Read our new review on Patient-Specific Numerical #Simulations of #Endovascular Procedures in Complex #Aortic Pathologies @Sainbiose_Lab in collaboration with Antoine Millon @CHUdeLyon 👇 mdpi.com/2079680 #mdpijcm @JCM_MDPI @MINES_StEtienne @Univ_St_Etienne

Grateful to @MSCActions @HorizonEU for funding this work as part of @H2020Meditate & to @mechbiomat for a speedy publication process, much appreciated.

Happy to share that my first publication with @H2020Meditate is out on @mechbiomat. Interested in the potential of #auxetic #stent design for EVAR applications ? Read more at doi.org/10.1016/j.jmbb… Thanks to @StphaneAvril1 , P. Di Giovanni & W-S. Han for their help !

Vacancies in our group, check the official offer lnkd.in/eSeAsvbE

We are looking for great postdocs to join our team in 2022! Please share with your network. emse.fr/~avril/MSE_Job…

Read our review paper about patient-specific computational modeling of #endovascular #aneurysm repair doi.org/10.1002/cnm.35… just published in IJNMBE #EVAR @PrediSurge @H2020Meditate

@flago2009 @StphaneAvril1 @H2020Meditate @MedUni_Wien It was a pleasure, in fact I intend to set up a meeting with you soon to get your valuable feedback on some of my designs. Will contact you directly at your official mail !

Thanks @StphaneAvril1 & Prof. Marco Biancolini for organizing our first summer school @H2020Meditate . Lectures from Prof. Moscato (@MedUni_Wien) & @flago2009 stood out for me considering my 3D printing bias 😅.

@celi_simona @VascAgeNet @H2020Meditate @bettabianchini Thank you @bettabianchini for the talk , much appreciated for the key insights into medical device regulations.

@VascAgeNet @H2020Meditate Many thanks to @bettabianchini and to all @VascAgeNet network for your support in our @H2020Meditate #Mariecurie EU project!

Today Vice-Chair Dr Elisabetta Bianchini discussed “Medical Devices Regulation: basic principles and applications in the #vascularageing field” with the #PhD students of ITN project @H2020Meditate Catch up on the full webinar here youtu.be/y-uhcPxFhj8